Ozarkar, S. | bioRxiv Science

bioRxiv2026

Lineage-specific chromatin poising enforced by ETS-IRF composite elements determines the divergent interferon responses of plasmacytoid dendritic cells and epithelial cells

Plasmacytoid dendritic cells (pDCs) produce robust type I interferons (IFN-I) within hours of viral sensing, while epithelial cells at mucosal surfaces mount a delayed response dominated by type III interferons (IFN-III). Both cell types express pattern recognition receptors that activate similar downstream transcription factors, yet they produce distinct subsets of IFNs. The mechanisms underlying these differences have remained unclear. Here, using Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq) in primary human pDCs and intestinal epithelial cells, we show that IFN-I and IFN-III gene loci carry opposing, constitutively established chromatin accessibility landscapes that determine cell-type-specific interferon induction. The IFN-I locus is broadly open in pDCs and constitutively closed in epithelial cells, while the IFN-III locus displays the reciprocal pattern. Motif enrichment analysis of accessible regions at the IFN-I locus in pDCs revealed unexpected and significant enrichment of ETS family binding motifs alongside IRF motifs, which determines the cell-type-specific locus accessibility. The ETS factor PU.1 and IRF8 bind IFN-I promoters, at composite ETS-IRF elements positioned at the Positive Regulatory Domain IV (PRDIV) site of IFNB1 promoter and adjacent to the TATA-proximal IRF motif of IFNA promoters. IFNL gene promoters lack ETS recognition sequences. PU.1-IRF8 composite factor binding extends across intergenic regions of the IFN-I locus, where candidate enhancer elements marked by H3K4me1, H3K27ac, and RNA Pol II occupancy were identified. We propose that this network of ETS-IRF composite-element-anchored enhancers maintains the IFN-I locus in a constitutively poised state in pDCs, licensing the rapid and robust IFN-I response that defines pDCs. In epithelial cells, the absence of PU.1 and IRF8 renders the IFN-I locus epigenetically silent, while the IFN-III locus is constitutively open. Despite this, the delayed IFN-III gene expression in epithelial cells is due to intrinsically weaker promoter activity relative to IFN-I. These findings reveal that the divergent IFN induction of pDCs and epithelial cells is determined by the chromatin architecture prior to infection. Overall, these observations show that lineage-specific ETS-IRF regulatory factors and promoter strength determine the cell-type-specific IFN activation.

immunology↗

bioRxiv2021

Endomembrane targeting of human OAS1 p46 augments antiviral activity

Many host RNA sensors are positioned in the cytosol to detect viral RNA during infection. However, most positive-strand RNA viruses replicate within a modified organelle co-opted from intracellular membranes of the endomembrane system, which shields viral products from host cell innate immune sensors. Targeting innate RNA sensors to the endomembrane system may enhance their ability to sense viral RNA generated by viruses that use these compartments for replication. Here, we reveal that an isoform of oligoadenylate synthetase 1, OAS1 p46, is prenylated and targeted to the endomembrane system. Membrane localization of OAS1 p46 confers enhanced access to viral replication sites and results in increased antiviral activity against a subset of RNA viruses including flavivirus, picornavirus, and SARS-CoV-2. Finally, our human genetic analysis shows that the OAS1 splice-site SNP responsible for production of the OAS1 p46 isoform strongly associates with COVID-19 severity. This study highlights the importance of endomembrane targeting for the antiviral specificity of OAS1 and suggests early control of SARS-CoV-2 replication through OAS1-p46 is an important determinant of COVID-19 severity.

immunology↗

bioRxiv2018

Statistical structure of locomotion and its modulation by odors

Most behaviors such as making tea are not stereotypical but have an obvious structure. However, analytical methods to objectively extract structure from non-stereotyped behaviors are immature. In this study, we analyze the locomotion of fruit flies and show that this non-stereotyped behavior is well-described by a Hierarchical Hidden Markov Model (HHMM). HHMM shows that a flys locomotion can be decomposed into a small number of locomotor features, and odors modulate locomotion by altering the time a fly spends performing different locomotor features. Importantly, although all flies in our dataset use the same set of locomotor features, individual flies vary considerably in how often they employ a given locomotor feature, and how this usage is modulated by odor. This variation is so large that the behavior of individual flies is best understood as being grouped into at least 3-5 distinct clusters, rather than variations around an average fly.

neuroscience↗